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The Learning of Neuro-Fuzzy Classifier with Fuzzy Rough Sets for Imprecise Datasets

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Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8467))

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Abstract

The paper concerns the architecture of a neuro-fuzzy classifier with fuzzy rough sets which has been developed to process imprecise data. A raw output of such system is an interval which has to be interpreted in terms of classification afterwards. To obtain a credible answer, the interval should be as narrow as possible; however, its width cannot be zero as long as input values are imprecise. In the paper, we discuss the determination of classifier parameters using the standard gradient learning technique. The effectiveness of the proposed method is confirmed by several simulation experiments.

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Author information

Authors and Affiliations

  1. Institute of Computational Intelligence, Czestochowa University of Technology, Al. Armii Krajowej 36, 42-200, Czestochowa, Poland

    Bartosz A. Nowak, Robert K. Nowicki & Janusz T. Starczewski

  2. Resource Centre for Environmental Technologies (CRTE), Public Research Centre Henri Tudor (CRPHT), 6A, avenue des Hauts-Fourneaux, L-4362, Esch-sur-Alzette, Luxembourg

    Antonino Marvuglia

Authors
  1. Bartosz A. Nowak
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  2. Robert K. Nowicki
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  3. Janusz T. Starczewski
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  4. Antonino Marvuglia
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski , Marcin Korytkowski  & Rafał Scherer ,  & 

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  4. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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Nowak, B.A., Nowicki, R.K., Starczewski, J.T., Marvuglia, A. (2014). The Learning of Neuro-Fuzzy Classifier with Fuzzy Rough Sets for Imprecise Datasets. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8467. Springer, Cham. https://doi.org/10.1007/978-3-319-07173-2_23

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  • DOI: https://doi.org/10.1007/978-3-319-07173-2_23

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07172-5

  • Online ISBN: 978-3-319-07173-2

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